Senior Software Engineer

As a member of the Teradata Consulting Delivery - Analytics team, you will work with, and learn from, the best people in the industry as you help clients define their Big Data and Analytics strategy, architect and implement these road maps, and bring to life revolutionary new analytics and insights. Our teams value collaboration and professional growth whether it's learning an industry when traveling to work with customers, creating new and never-been-done before solutions, or speaking at conferences about our clients' accomplishments and successes. We believe in developing our people to be expert technologists and thought leaders in the Big Data space!  You will: Work in a presales capacity to define, design and defend complex solutions that you helped to architect/create to some of the World’s most prestigious clientsProvide technical direction to a world class engineering teamCollaborate with Sales and Client Partners to develop new business and manage existing client relationshipsDesign and develop code, scripts, data pipelines, and analytical applications that leverage structured and unstructured dataParticipate in and lead requirements and design workshops with our clientsMust be adept at sizing and estimating new projects, as well supporting new business development.Mentoring junior members on the team in application architecture, design and development best practicesHelp establish thought leadership in the big data space by contributing to white-papers, technical commentary and representing our company at industry conferences.  Knowledge, Skills & Abilities:Have 6-10+ years’ experience programming in Java, Python or C/C++, demonstrate proven expertise in production grade software development.Be proficient in SQL, NoSQL database design and modellingHave experience with Hadoop stack, i.e different Hadoop distribution (Hortonworks and Cloudera), Hive, Spark, Kafka, Spark, Oozie, Ranger, etcHave experience in design and implement large scale distributed systems, preferably have experience in data lake implementation (both batch and stream)Have strong analytical skills and be a creative problem-solverMust possess excellent verbal and written communications skills and be a strong team player capable of working in a demanding start-up environment.Have prior work and/or research experience with unstructured data and data modelling as well as familiarity with different development methodologies (e.g. agile, waterfall, XP, scrum, etc.) Preferably have prior consulting experienceHave bachelor or higher degree in computer science or similar subjects Desirable: Dynamic and/or functional languages experience such as Python, Ruby, Scala, and Clojure are also desirableDevelopment experience in cloud environment like AWS and Azure is a strong plusDevOps and infrastructure as code experience, familiar with tools like Jenkins, Ansible, Docker, Kubernetes etcMachine learning engineering experience, like model management, model serving, optimizing model training is a strong plusExperience designing and tuning high-performance systems and prior experience with data warehousing and business intelligence systemsA professional or academic background that includes mathematics, statistics, machine learning and data mining is a plus